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  • Aziz, Atiqullah  (1)
  • World journal of urology : official journal of the Urological Research Society  (1)
  • 1
    Language: English
    In: World Journal of Urology, 2015, Vol.33(11), pp.1753-1761
    Description: To access, purchase, authenticate, or subscribe to the full-text of this article, please visit this link: http://dx.doi.org/10.1007/s00345-015-1502-y Byline: Vladimir Novotny (1), Michael Froehner (1), Matthias May (2), Chris Protzel (3), Katrin Hergenrother (3), Michael Rink (4), Felix K. Chun (4), Margit Fisch (4), Florian Roghmann (5), Rein-Juri Palisaar (5), Joachim Noldus (5), Michael Gierth (6), Hans-Martin Fritsche (6), Maximilian Burger (6), Danijel Sikic (7), Bastian Keck (7), Bernd Wullich (7), Philipp Nuhn (8), Alexander Buchner (8), Christian G. Stief (8), Stefan Vallo (9), Georg Bartsch (9), Axel Haferkamp (9), Patrick J. Bastian (10), Oliver W. Hakenberg (3), Stefan Propping (1), Atiqullah Aziz (4) Keywords: Bladder cancer; Radical cystectomy; Recurrence; Outcome Abstract: Purpose To externally validate the Christodouleas risk model incorporating pathological tumor stage, lymph node (LN) count and soft tissue surgical margin (STSM) and stratifying patients who develop locoregional recurrence (LR) after radical cystectomy (RC) for urothelial carcinoma of the bladder (UCB). In addition, we aimed to generate a new model including established clinicopathological features that were absent in the Christodouleas risk model. Methods Prospectively assessed multicenter data from 565 patients undergoing RC for UCB in 2011 qualified for final analysis. For the purpose of external validation, risk group stratification according to Christodouleas was performed. Competing-risk models were calculated to compare the cumulative incidences of LR after RC. Results After a median follow-up of 25 months (interquartile range 19--29), the LR-rate was 11.5 %. The Christodouleas model showed a predictive accuracy of 83.2 % in our cohort. In multivariable competing-risk analysis, tumor stage a[yen]pT3 (HR 4.32, p 〈 0.001), positive STSM (HR 2.93, p = 0.005), lymphovascular invasion (HR 3.41, p 〈 0.001), the number of removed LNs 〈10 (HR 2.62, p 〈 0.001) and the administration of adjuvant chemotherapy (HR 0.40, p = 0.008) independently predicted the LR-rate. The resulting risk groups revealed significant differences in LR-rates after 24 months with 4.8 % for low-risk patients, 14.7 % for intermediate-risk patients and 38.9 % for high-risk patients (p 〈 0.001 for all), with a predictive accuracy of 85.6 %, respectively. Conclusions The Christodouleas risk model has been successfully externally validated in the present prospective series. However, this analysis finds that overall model performance may be improved by incorporating lymphovascular invasion. After external validation of the newly proposed risk model, it may be used to identify patients who benefit from an adjuvant therapy and suit for inclusion in clinical trials. Author Affiliation: (1) Department of Urology, University Hospital "Carl Gustav Carus", Dresden, Germany (2) Department of Urology, St. Elisabeth Hospital, Straubing, Germany (3) Department of Urology, University Medical Center Rostock, Rostock, Germany (4) Department of Urology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany (5) Department of Urology, Marienhospital Herne, Ruhr-University Bochum, Herne, Germany (6) Department of Urology, Caritas St. Josef Medical Center, University of Regensburg, Regensburg, Germany (7) Department of Urology, University Hospital Erlangen, Erlangen, Germany (8) Department of Urology, Ludwig-Maximilians-University Munich, Munich, Germany (9) Department of Urology, Goethe-University Frankfurt, Frankfurt am Main, Germany (10) Department of Urology, Paracelsus Medical Center Golzheim, Dusseldorf, Germany Article History: Registration Date: 27/01/2015 Received Date: 02/12/2014 Accepted Date: 25/01/2015 Online Date: 08/02/2015
    Keywords: Bladder cancer ; Radical cystectomy ; Recurrence ; Outcome
    ISSN: 0724-4983
    E-ISSN: 1433-8726
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